Correlation Between Alibaba Group and Santander Bank
Can any of the company-specific risk be diversified away by investing in both Alibaba Group and Santander Bank at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Alibaba Group and Santander Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alibaba Group Holding and Santander Bank Polska, you can compare the effects of market volatilities on Alibaba Group and Santander Bank and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Alibaba Group with a short position of Santander Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alibaba Group and Santander Bank.
Diversification Opportunities for Alibaba Group and Santander Bank
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Alibaba and Santander is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Alibaba Group Holding and Santander Bank Polska in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Santander Bank Polska and Alibaba Group is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Alibaba Group Holding are associated (or correlated) with Santander Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Santander Bank Polska has no effect on the direction of Alibaba Group i.e., Alibaba Group and Santander Bank go up and down completely randomly.
Pair Corralation between Alibaba Group and Santander Bank
Given the investment horizon of 90 days Alibaba Group Holding is expected to under-perform the Santander Bank. But the stock apears to be less risky and, when comparing its historical volatility, Alibaba Group Holding is 1.39 times less risky than Santander Bank. The stock trades about -0.01 of its potential returns per unit of risk. The Santander Bank Polska is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 3,320 in Santander Bank Polska on October 4, 2024 and sell it today you would earn a total of 7,480 from holding Santander Bank Polska or generate 225.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.8% |
Values | Daily Returns |
Alibaba Group Holding vs. Santander Bank Polska
Performance |
Timeline |
Alibaba Group Holding |
Santander Bank Polska |
Alibaba Group and Santander Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alibaba Group and Santander Bank
The main advantage of trading using opposite Alibaba Group and Santander Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alibaba Group position performs unexpectedly, Santander Bank can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Santander Bank will offset losses from the drop in Santander Bank's long position.Alibaba Group vs. PDD Holdings | Alibaba Group vs. MercadoLibre | Alibaba Group vs. JD Inc Adr | Alibaba Group vs. Sea |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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